code: def test_compatible_with_espnet1():
      layer = LogSpectrogram(n_fft=16, hop_length=4)
      x = torch.randn(1, 100)
      y, _ = layer(x, torch.LongTensor([100]))
      y = y.numpy()[0]
      y2 = np.log10(spectrogram(x[0].numpy(), n_fft=16, n_shift=4))
      np.testing.assert_allclose(y, y2, rtol=0, atol=1e-4)
  
file_path: espnet/test/espnet2/tts/feats_extract/test_log_spectrogram.py
imports: import numpy
  import torch
  from espnet2.tts.feats_extract.log_spectrogram import LogSpectrogram
  from espnet.transform.spectrogram import spectrogram
label_desc: Use image node_id 6 for calling a global function with example usage: test_compatible_with_espnet1() without return types